Jiun De Tsao
ABSTRACT
With the arrival of the era of Industry 4.0, the development of technologies such as Internet of Things and others has gradually been implemented in daily life. The Artificial Internet of Things can be used for STEM teaching. Its integrates the comprehensive knowledge and application of technology in the fields of science, machinery, mathematics, information and artificial intelligence.The middle school stage is a critical period for young people to develop STEM career interests, especially for the high school students. Not only they should experience an important exploratory process of choosing a department at the university but also they need to cultivate their career interest and career decision-making abilities for career preparation. However, there are few opportunities for students to actively explore their interests and integrate practical skills and hence most high school students have a huge cognitive gap between their interests in future career and their background knowledge. Therefore, this research uses the 6E model combined with the self-efficacy strategies in order to enable students to participate more actively in class discussions and complete their practical works with the help of their peers, thereby accumulating a sense of accomplishment and gaining better learning performance. According to the results, we can find that there are significant differences in STEM career interest, IoT knowledge and hands-on ability. Besides, it also shows that students in the 6E model combined with the self-efficacy strategies group can have good STEM career interest and learning effectiveness, which can help them in the development of related STEM careers in the future.
- Barton, E. E., & Ledford, J. R. (2018). Effects of reinforcement on peer imitation in a small group play context. Journal of Early Intervention, 40(1), 69-86.Google Scholar
Cross Ref
- Beatson, N. J., Berg, D. A., & Smith, J. K. (2018). The impact of mastery feedback on undergraduate students’ self-efficacy beliefs. Studies in Educational Evaluation, 59, 58-66.Google ScholarCross Ref
- Chan, H. C. Y. & Chan, L. (2018). Smart library and smart campus. Journal of Service Science and Management, 11(4), 543-564.Google ScholarCross Ref
- Compeau, S. (2016). The calling of an engineer: High school students' perceptions of engineering (Doctoral dissertation). Retrieved from https://qspace.library.queensu.ca/handle/1974/13924Google Scholar
- Dorph, R., Bathgate, M. E., Schunn, C. D., & Cannady, M. A. (2018). When I grow up: the relationship of science learning activation to STEM career preferences. International Journal of Science Education, 40(9), 1034-1057.Google ScholarCross Ref
- Falco, L. D., Summers, J. J., Bauman, S. (2010). Encouraging mathematics participation through improved self-efficacy: A school counseling outcomes study. Educational Research and Evaluation, 16(4), 529-549.Google ScholarCross Ref
- Feki, M. A., Kawsar, F., Boussard, M., & Trappeniers, L. (2013). The internet of things: the next technological revolution. Computer, 46(2), 24-25.Google ScholarDigital Library
- Fidai, A., Kwon, H., Buettner, G., Capraro, R. M., Capraro, M. M., Jarvis, C., & Verma, S. (2019, October). Internet of things (IoT) instructional devices in STEM classrooms: Past, present and future directions. In 2019 IEEE Frontiers in Education Conference (FIE) (pp. 1-9).Google ScholarDigital Library
- Gan, Z., Hu, G., Wang, W., Nang, H., & An, Z. (2021). Feedback behaviour and preference in university academic English courses: associations with English language self-efficacy. Assessment & Evaluation in Higher Education, 46(5), 740-755.Google ScholarCross Ref
- Guntha, R., Hariharan, B., & Rangan, P. V. (2016). Analysis of echo cancellation techniques in multi-perspective smart classroom. In 2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI)(pp. 1135-1140).Google ScholarCross Ref
- Gushue, G. V., Clarke, C. P., Pantzer, K. M., Scanlan, K. R. (2006). Self-efficacy, perceptions of barriers, vocational identity, and the career exploration behavior of Latinoa high school students. The Career Development Quarterly, 54(9), 307-317.Google ScholarCross Ref
- Gubbi, J., Buyya, R., Marusic, S. and Palaniswami, M. (2013) Internet of Things (IoT): A Vision, Architectural Elements, and Future Directions. Future Generation Computer Systems, 29, 1645-1660.Google ScholarDigital Library
- Hundhausen C. D., Agrawal A., Agarwal P. (2013). Talking about code: integrating pedagogical code reviews into early computing courses. ACM Trans. Comput. Educ,13, 1-28.Google ScholarDigital Library
- Jiang, Y. (2021). Learning Goal Orientation, Career Self‐Efficacy, and Career Interest: A Moderated Mediation Model. Journal of Employment Counseling, 58(4), 167-181.Google ScholarCross Ref
- Lee, V., Cohen, S. R., Edgar, L., Laizner, A. M., & Gagnon, A. J. (2006). Meaning-making intervention during breast or colorectal cancer treatment improves self-esteem, optimism, and self-efficacy. Social Science & Medicine, 62(12), 3133-3145.Google ScholarCross Ref
- Nusyirwan, Prayetno, Sumantri & Perwira (2020). Engineering Design Process of Arduino Uno-based Smart Classroom Technology. The Journal of Innovation and Technology, 1(2), 72-78.Google ScholarCross Ref
- Renbarger, R., & DAVİS, B. (2019). Mentors, self-efficacy, or professional development: Which mediate job satisfaction for new teachers༟ A regression examination. Journal of Teacher Education and Educators, 8(1), 21-34.Google Scholar
- Saini, M. K., & Goel, N. (2019). How smart are smart classrooms? A review of smart classroom technologies. ACM Computing Surveys, 52(6), 1-28.Google ScholarDigital Library
- Zhang, L, & Barnett, M. (2015). How high school students envision their STEM career pathways. Cultural Studies of Science Education, 10(3), 637-656.Google ScholarCross Ref
- Zorn, T. E., Roper, J., Broadfoot, K., & Kay Weaver, C. (2006). Focus groups as sites of influential interaction: Building communicative self-efficacy and effecting attitudinal change in discussing controversial topics. Journal of Applied Communication Research, 34(2), 115-140.Google ScholarCross Ref
Index Terms
- A Study on the Impact of Using 6E Model combined with the Self-efficacy Strategies for An AIoT Hands-on Activity to Students'STEM Career Interest, Learning Effectiveness and Behavior Pattern
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